numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Fix refcounts when yielding NRT-managed objects
- List are not correctly converted to array
- Accessing fields from numpy records inside parallel function raises error
- optional type in `if x is not None` branch is still optional
- Hangs when printing `get_thread_id` inside a cached jit function
- Expensive Calls to `ir.Inst.list_vars` During Compilation
- Memory allocations in Numba significantly slower than allocations with Numpy
- Fall back to iterative topological sort with function IRs with large numbers of basic blocks
- Add script to detect flake8 error in diffs
- Add `NUMBA_CACHE_OVERRIDE` to force caching on or off
- Docs
- Python not yet supported